Senior Data Engineer (SQL, Python)

TL;DR

Senior Data Engineer (SQL, Python): Building and maintaining complex data pipelines for a major banking project with an accent on SQL procedures, data quality, and automation using Apache Airflow. Focus on clarifying requirements, writing clean code, and resolving data quality or performance issues in large-scale systems.

Location: Fully Remote (from Poland, Lithuania, Latvia, or Estonia)

Company

hirify.global offers a gateway to exciting career prospects and the chance to thrive in a fulfilling work environment for job seekers.

What you will do

• Collaborate with Business Analysts and Product Owners to clarify requirements.
• Design, build, and maintain SQL procedures and datasets reflecting business logic.
• Develop and automate data pipelines using Apache Airflow.
• Write clean, standardized Python and SQL code following best practices.
• Identify and resolve data quality or performance issues.

Requirements

• 4+ years of hands-on experience in Data Engineering.
• Strong knowledge of SQL (4+ years), Python, and Git.
• Proven experience with Apache Airflow for pipeline automation.
• Understanding of SDLC principles and version control.
• English: Upper-intermediate (B2).

Nice to have

• Experience with Sybase or other enterprise databases.
• Background in banking or financial data environments.